Integration of data-driven models for dynamic prediction of the SAGD production performance with field data

Z Huang, R Li, Z Chen - Fuel, 2023 - Elsevier
Steam-assisted gravity drainage (SAGD) is a successful thermal recovery process and has
been widely applied to oil sands production. The prediction of oil production of the SAGD …

Optimization of WAG process using dynamic proxy, genetic algorithm and ant colony optimization

M Nait Amar, N Zeraibi, K Redouane - Arabian Journal for Science and …, 2018 - Springer
The optimization of water alternating gas injection (WAG) process is a complex problem,
which requires a significant number of numerical simulations that are time-consuming …

Integration of artificial intelligence and production data analysis for shale heterogeneity characterization in steam-assisted gravity-drainage reservoirs

Z Ma, JY Leung, S Zanon - Journal of Petroleum Science and Engineering, 2018 - Elsevier
Abstract Steam-Assisted Gravity Drainage (SAGD) recovery is strongly impacted by
distributions of heterogeneous shale barriers, which impede the vertical growth and lateral …

Gaussian Processes for history-matching: application to an unconventional gas reservoir

H Hamdi, I Couckuyt, MC Sousa, T Dhaene - Computational Geosciences, 2017 - Springer
The process of reservoir history-matching is a costly task. Many available history-matching
algorithms either fail to perform such a task or they require a large number of simulation …

A comparative evaluation of global search algorithms in black box optimization of oil production: A case study on Brugge field

T Foroud, A Baradaran, A Seifi - Journal of Petroleum Science and …, 2018 - Elsevier
We evaluate the application of eight different global search algorithms to the optimization of
oil production from a mature field. Our focus is on algorithms that treat the reservoir simulator …

Application of assisted history matching workflow to shale gas well using EDFM and neural network-Markov Chain Monte Carlo algorithm

S Tripoppoom, W Yu, K Sepehrnoori… - SPE/AAPG/SEG …, 2019 - onepetro.org
Production data which is always available at no additional cost can give an invaluable
information of fracture geometry and reservoir properties. However, in unconventional …

Integration of deep learning and data analytics for SAGD temperature and production analysis

Z Ma, JY Leung - SPE Reservoir Simulation Conference?, 2019 - onepetro.org
Shale heterogeneities often impede the development of steam chamber in many steam-
assisted gravity drainage (SAGD) projects. Unfortunately, static data alone is generally …

A multiobjective Markov chain Monte Carlo approach for history matching and uncertainty quantification

F Olalotiti-Lawal, A Datta-Gupta - Journal of Petroleum Science and …, 2018 - Elsevier
We present a probabilistic approach for integrating multiple data types into subsurface flow
models. Our approach is based on a Bayesian framework whereby we exhaustively sample …

Assisted history matching using pattern recognition technology

A Shahkarami, SD Mohaghegh… - … Journal of Oil, Gas …, 2018 - inderscienceonline.com
This study examines the application of pattern recognition technologies to improve the time
and effort required for completing successful history matching projects. The pattern …

Integration of data-driven modeling techniques for lean zone and shale barrier characterization in SAGD reservoirs

Z Ma, JY Leung - Journal of Petroleum Science and Engineering, 2019 - Elsevier
High water saturation zone, which is also known as lean zone, and shale barrier, are two
common types of heterogeneous features in steam-assisted gravity drainage (SAGD) …